Description

You will lead the execution of data science initiatives to meet business objectives.

Responsibilities

• Implement the data science lifecycle, from data collection and preprocessing through model deployment and evaluation.
• Build and deploy predictive models, recommender systems, and other data-driven solutions.
• Communicate complex technical findings and recommendations to both technical and non-technical stakeholders.
• Collaborate with product management and engineering to translate business needs into analytical solutions.
• Research and evaluate new methodologies to drive improvements in data science effectiveness.

Required Skills

• Master's degree or Ph.D. in Computer Science, Statistics, Mathematics, or related field.
• 10+ years of experience in data science or analytics.
• Strong programming proficiency in Python.
• Expertise with GCP, including BigQuery, Dataflow, Dataproc, AI Platform, and Airflow.
• Proven track record deploying data science solutions with measurable business impact.
• Experience with cloud platforms, including AWS.
• Expert knowledge of statistical modeling and machine learning algorithms.
• Excellent communication and presentation skills.

Preferred Skills

• Experience in the financial services industry.
• Familiarity with MLOps practices.

Key Skills

Education

Master's degree or Ph.D